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2014.008Ap Officers) Short Title: One New Sequence-Only Species, Trailing Lespedeza Virus 1, in the Family Tombusviridae (E.G
This form should be used for all taxonomic proposals. Please complete all those modules that are applicable (and then delete the unwanted sections). For guidance, see the notes written in blue and the separate document “Help with completing a taxonomic proposal” Please try to keep related proposals within a single document; you can copy the modules to create more than one genus within a new family, for example. MODULE 1: TITLE, AUTHORS, etc (to be completed by ICTV Code assigned: 2014.008aP officers) Short title: One new sequence-only species, Trailing lespedeza virus 1, in the family Tombusviridae (e.g. 6 new species in the genus Zetavirus) Modules attached 1 2 3 4 5 (modules 1 and 9 are required) 6 7 8 9 Author(s) with e-mail address(es) of the proposer: Kay Scheets ([email protected]) and Ulrich Melcher ([email protected]) List the ICTV study group(s) that have seen this proposal: A list of study groups and contacts is provided at http://www.ictvonline.org/subcommittees.asp . If in doubt, contact the appropriate subcommittee Tombusviridae and Umbravirus Study Group chair (fungal, invertebrate, plant, prokaryote or vertebrate viruses) ICTV-EC or Study Group comments and response of the proposer: SG comment: The decision to accept this proposal was unanimous. EC comment: This proposal, which is related to the proposal suggesting the creation of the genus Pelarspovirus, was coded “Ud” because of concerns associated with the creation of the genus (see comments on the related proposal). However, the proposal for creation of the species could be approved this year if the proposal was modified to propose that the species remains unassigned in the family Tombusviridae or possibly be assigned to the current genus Carmovirus. -
Diversity and Evolution of Viral Pathogen Community in Cave Nectar Bats (Eonycteris Spelaea)
viruses Article Diversity and Evolution of Viral Pathogen Community in Cave Nectar Bats (Eonycteris spelaea) Ian H Mendenhall 1,* , Dolyce Low Hong Wen 1,2, Jayanthi Jayakumar 1, Vithiagaran Gunalan 3, Linfa Wang 1 , Sebastian Mauer-Stroh 3,4 , Yvonne C.F. Su 1 and Gavin J.D. Smith 1,5,6 1 Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; [email protected] (D.L.H.W.); [email protected] (J.J.); [email protected] (L.W.); [email protected] (Y.C.F.S.) [email protected] (G.J.D.S.) 2 NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 119077, Singapore 3 Bioinformatics Institute, Agency for Science, Technology and Research, Singapore 138671, Singapore; [email protected] (V.G.); [email protected] (S.M.-S.) 4 Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore 5 SingHealth Duke-NUS Global Health Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore 168753, Singapore 6 Duke Global Health Institute, Duke University, Durham, NC 27710, USA * Correspondence: [email protected] Received: 30 January 2019; Accepted: 7 March 2019; Published: 12 March 2019 Abstract: Bats are unique mammals, exhibit distinctive life history traits and have unique immunological approaches to suppression of viral diseases upon infection. High-throughput next-generation sequencing has been used in characterizing the virome of different bat species. The cave nectar bat, Eonycteris spelaea, has a broad geographical range across Southeast Asia, India and southern China, however, little is known about their involvement in virus transmission. -
Icosahedral Viruses Defined by Their Positively Charged Domains: a Signature for Viral Identity and Capsid Assembly Strategy
Support Information for: Icosahedral viruses defined by their positively charged domains: a signature for viral identity and capsid assembly strategy Rodrigo D. Requião1, Rodolfo L. Carneiro 1, Mariana Hoyer Moreira1, Marcelo Ribeiro- Alves2, Silvana Rossetto3, Fernando L. Palhano*1 and Tatiana Domitrovic*4 1 Programa de Biologia Estrutural, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-902, Brazil. 2 Laboratório de Pesquisa Clínica em DST/Aids, Instituto Nacional de Infectologia Evandro Chagas, FIOCRUZ, Rio de Janeiro, RJ, 21040-900, Brazil 3 Programa de Pós-Graduação em Informática, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-902, Brazil. 4 Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-902, Brazil. *Corresponding author: [email protected] or [email protected] MATERIALS AND METHODS Software and Source Identifier Algorithms Calculation of net charge (1) Calculation of R/K ratio This paper https://github.com/mhoyerm/Total_ratio Identify proteins of This paper https://github.com/mhoyerm/Modulate_RK determined net charge and R/K ratio Identify proteins of This paper https://github.com/mhoyerm/Modulate_KR determined net charge and K/R ratio Data sources For all viral proteins, we used UniRef with the advanced search options (uniprot:(proteome:(taxonomy:"Viruses [10239]") reviewed:yes) AND identity:1.0). For viral capsid proteins, we used the advanced search options (proteome:(taxonomy:"Viruses [10239]") goa:("viral capsid [19028]") AND reviewed:yes) followed by a manual selection of major capsid proteins. Advanced search options for H. -
Current Insights
Journal name: Advances in Genomics and Genetics Article Designation: Review Year: 2017 Volume: 7 Advances in Genomics and Genetics Dovepress Running head verso: Reyes et al Running head recto: Profile hidden Markov models in viral discovery open access to scientific and medical research DOI: http://dx.doi.org/10.2147/AGG.S136574 Open Access Full Text Article REVIEW Use of profile hidden Markov models in viral discovery: current insights Alejandro Reyes1–3 Abstract: Sequence similarity searches are the bioinformatic cornerstone of molecular sequence João Marcelo P Alves4 analysis for all domains of life. However, large amounts of divergence between organisms, such as Alan Mitchell Durham5 those seen among viruses, can significantly hamper analyses. Profile hidden Markov models (profile Arthur Gruber4 HMMs) are among the most successful approaches for dealing with this problem, which represent an invaluable tool for viral identification efforts. Profile HMMs are statistical models that convert 1Department of Biological Sciences, Universidad de los Andes, Bogotá, information from a multiple sequence alignment into a set of probability values that reflect position- Colombia; 2Department of Pathology specific variation levels in all members of evolutionarily related sequences. Since profile HMMs and Immunology, Center for Genome represent a wide spectrum of variation, these models show higher sensitivity than conventional Sciences and Systems Biology, Washington University in Saint Louis, similarity methods such as BLAST for the detection of remote homologs. In recent years, there has 3 For personal use only. St Louis, MO, USA; Max Planck been an effort to compile viral sequences from different viral taxonomic groups into integrated data- Tandem Group in Computational bases, such as Prokaryotic Virus Orthlogous Groups (pVOGs) and database of profile HMMs (vFam) Biology, Universidad de los Andes, Bogotá, Colombia; 4Department of database, which provide functional annotation, multiple sequence alignments, and profile HMMs. -
Multiple Viral Infections in Agaricus Bisporus
Supplementary Information: Title: Multiple viral infections in Agaricus bisporus - Characterisation of 18 unique RNA viruses and 8 ORFans identified by deep sequencing Authors: Gregory Deakina,b,c,1, Edward Dobbsa,1, Ian M Jonesb, Helen M Grogan c , and Kerry S Burtona, * 1 Supplementary Tables Table S1. ORFans sequenced from samples of A. bisporus, their RNA length and Open Reading Frame (ORF) lengths. Name Contig Length ORF Length ORFan 1 C34 5078 513, 681, 1944 ORFan 2 C17 2311 426 ORFan 3 C19 1959 315 ORFan 4 C28 1935 315, 360 ORFan 5 C27 1110 528 ORFan 6 C38 1089 267, 276 ORFan 7 C24 927 258, 276, 324 ORFan 8 C31 703 291 The Name column corresponds to the proposed name for the discovered ORFan. The Contig column corresponds to contiguous RNA sequences assembled from the Illumina reads for each ORFan. The length and ORF length columns are in RNA bases and correspond respectively to the total length of the ORFan and length of ORFs above 250 bases. 2 Table S2. GenBank accession numbers for the virus and ORFan RNA molecules Accession number Virus name KY357487 Agaricus bisporus Virus 2 AbV2 KY357488 Agaricus bisporus Virus 3 AbV3 KY357489 Agaricus bisporus Virus 6 RNA1 AbV6 RNA1 KY357490 Agaricus bisporus Virus 6 RNA2 AbV6 RNA2 KY357491 Agaricus bisporus Virus 7 AbV7 KY357492 Agaricus bisporus Virus 5 AbV5 KY357493 Agaricus bisporus Virus 8 AbV8 KY357494 Agaricus bisporus Virus 9 AbV9 KY357495 Agaricus bisporus Virus 10 AbV10 KY357496 Agaricus bisporus Virus 11 AbV11 KY357497 Agaricus bisporus Virus 12 AbV12 KY357498 Agaricus bisporus -
The Discovery, Distribution and Diversity of DNA Viruses
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.16.342956; this version posted March 17, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Title: The discovery, distribution and diversity of DNA viruses associated with Drosophila melanogaster in Europe Running title: DNA viruses of European Drosophila Key Words: DNA virus, Endogenous viral element, Drosophila, Nudivirus, Galbut virus, Filamentous virus, Adintovirus, Densovirus, Bidnavirus Authors: Megan A. Wallace 1,2 [email protected] 0000-0001-5367-420X Kelsey A. Coffman 3 [email protected] 0000-0002-7609-6286 Clément Gilbert 1,4 [email protected] 0000-0002-2131-7467 Sanjana Ravindran 2 [email protected] 0000-0003-0996-0262 Gregory F. Albery 5 [email protected] 0000-0001-6260-2662 Jessica Abbott 1,6 [email protected] 0000-0002-8743-2089 Eliza Argyridou 1,7 [email protected] 0000-0002-6890-4642 Paola Bellosta 1,8,9 [email protected] 0000-0003-1913-5661 Andrea J. Betancourt 1,10 [email protected] 0000-0001-9351-1413 Hervé Colinet 1,11 [email protected] 0000-0002-8806-3107 Katarina Eric 1,12 [email protected] 0000-0002-3456-2576 Amanda Glaser-Schmitt 1,7 [email protected] 0000-0002-1322-1000 Sonja Grath 1,7 [email protected] 0000-0003-3621-736X Mihailo Jelic 1,13 [email protected] 0000-0002-1637-0933 Maaria Kankare 1,14 [email protected] 0000-0003-1541-9050 Iryna Kozeretska 1,15 [email protected] 0000-0002-6485-1408 Volker Loeschcke 1,16 [email protected] 0000-0003-1450-0754 Catherine Montchamp-Moreau 1,4 [email protected] 0000-0002-5044-9709 Lino Ometto 1,17 [email protected] 0000-0002-2679-625X Banu Sebnem Onder 1,18 [email protected] 0000-0002-3003-248X Dorcas J. -
Ancient Recombination Events and the Origins of Hepatitis E Virus Andrew G
Kelly et al. BMC Evolutionary Biology (2016) 16:210 DOI 10.1186/s12862-016-0785-y RESEARCH ARTICLE Open Access Ancient recombination events and the origins of hepatitis E virus Andrew G. Kelly, Natalie E. Netzler and Peter A. White* Abstract Background: Hepatitis E virus (HEV) is an enteric, single-stranded, positive sense RNA virus and a significant etiological agent of hepatitis, causing sporadic infections and outbreaks globally. Tracing the evolutionary ancestry of HEV has proved difficult since its identification in 1992, it has been reclassified several times, and confusion remains surrounding its origins and ancestry. Results: To reveal close protein relatives of the Hepeviridae family, similarity searching of the GenBank database was carried out using a complete Orthohepevirus A, HEV genotype I (GI) ORF1 protein sequence and individual proteins. The closest non-Hepeviridae homologues to the HEV ORF1 encoded polyprotein were found to be those from the lepidopteran-infecting Alphatetraviridae family members. A consistent relationship to this was found using a phylogenetic approach; the Hepeviridae RdRp clustered with those of the Alphatetraviridae and Benyviridae families. This puts the Hepeviridae ORF1 region within the “Alpha-like” super-group of viruses. In marked contrast, the HEV GI capsid was found to be most closely related to the chicken astrovirus capsid, with phylogenetic trees clustering the Hepeviridae capsid together with those from the Astroviridae family, and surprisingly within the “Picorna-like” supergroup. These results indicate an ancient recombination event has occurred at the junction of the non-structural and structure encoding regions, which led to the emergence of the entire Hepeviridae family. -
Virological Sampling of Inaccessible Wildlife with Drones
viruses Communication Virological Sampling of Inaccessible Wildlife with Drones Jemma L. Geoghegan 1,*,† ID , Vanessa Pirotta 1,† ID , Erin Harvey 2,†, Alastair Smith 3, Jan P. Buchmann 2, Martin Ostrowski 4, John-Sebastian Eden 2,5 ID , Robert Harcourt 1 and Edward C. Holmes 2 ID 1 Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia; [email protected] (V.P.); [email protected] (R.H.) 2 Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia; [email protected] (E.H.); [email protected] (J.P.B.); [email protected] (J.-S.E.); [email protected] (E.C.H.) 3 Heliguy Scientific Pty Ltd., Sydney, NSW 2204, Australia; [email protected] 4 Department of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia; [email protected] 5 Westmead Institute for Medical Research, Centre for Virus Research, Westmead, NSW 2145, Australia * Correspondence: [email protected]; Tel.: +61-2-9850-8204 † The authors contributed equally to this paper. Received: 12 May 2018; Accepted: 31 May 2018; Published: 2 June 2018 Abstract: There is growing interest in characterizing the viromes of diverse mammalian species, particularly in the context of disease emergence. However, little is known about virome diversity in aquatic mammals, in part due to difficulties in sampling. We characterized the virome of the exhaled breath (or blow) of the Eastern Australian humpback whale (Megaptera novaeangliae). -
Duck Gut Viral Metagenome Analysis Captures Snapshot of Viral Diversity Mohammed Fawaz1†, Periyasamy Vijayakumar1†, Anamika Mishra1†, Pradeep N
Fawaz et al. Gut Pathog (2016) 8:30 DOI 10.1186/s13099-016-0113-5 Gut Pathogens RESEARCH Open Access Duck gut viral metagenome analysis captures snapshot of viral diversity Mohammed Fawaz1†, Periyasamy Vijayakumar1†, Anamika Mishra1†, Pradeep N. Gandhale1, Rupam Dutta1, Nitin M. Kamble1, Shashi B. Sudhakar1, Parimal Roychoudhary2, Himanshu Kumar3, Diwakar D. Kulkarni1 and Ashwin Ashok Raut1* Abstract Background: Ducks (Anas platyrhynchos) an economically important waterfowl for meat, eggs and feathers; is also a natural reservoir for influenza A viruses. The emergence of novel viruses is attributed to the status of co-existence of multiple types and subtypes of viruses in the reservoir hosts. For effective prediction of future viral epidemic or pan- demic an in-depth understanding of the virome status in the key reservoir species is highly essential. Methods: To obtain an unbiased measure of viral diversity in the enteric tract of ducks by viral metagenomic approach, we deep sequenced the viral nucleic acid extracted from cloacal swabs collected from the flock of 23 ducks which shared the water bodies with wild migratory birds. Result: In total 7,455,180 reads with average length of 146 bases were generated of which 7,354,300 reads were de novo assembled into 24,945 contigs with an average length of 220 bases and the remaining 100,880 reads were singletons. The duck virome were identified by sequence similarity comparisons of contigs and singletons (BLASTx 3 E score, <10− ) against viral reference database. Numerous duck virome sequences were homologous to the animal virus of the Papillomaviridae family; and phages of the Caudovirales, Inoviridae, Tectiviridae, Microviridae families and unclassified phages. -
The Discovery, Distribution and Diversity of DNA Viruses Associated with Drosophila Melanogaster in Europe Authors: Megan A
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.16.342956; this version posted October 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. DNA viruses of European Drosophila The discovery, distribution and diversity of DNA viruses associated with Drosophila melanogaster in Europe Authors: Megan A. Wallace 1,2 [email protected] 0000-0001-5367-420X Kelsey A. Coffman 3 [email protected] 0000-0002-7609-6286 Clément Gilbert 1,4 [email protected] 0000-0002-2131-7467 Sanjana Ravindran 2 [email protected] 0000-0003-0996-0262 Gregory F. Albery 5 [email protected] 0000-0001-6260-2662 Jessica Abbott 1,6 [email protected] 0000-0002-8743-2089 Eliza Argyridou 1,7 [email protected] 0000-0002-6890-4642 Paola Bellosta 1,8,9 [email protected] 0000-0003-1913-5661 Andrea J. Betancourt 1,10 [email protected] 0000-0001-9351-1413 Hervé Colinet 1,11 [email protected] 0000-0002-8806-3107 Katarina Eric 1,12 [email protected] 0000-0002-3456-2576 Amanda Glaser-Schmitt 1,7 [email protected] 0000-0002-1322-1000 Sonja Grath 1,7 [email protected] 0000-0003-3621-736X Mihailo Jelic 1,13 [email protected] 0000-0002-1637-0933 Maaria Kankare 1,14 [email protected] 0000-0003-1541-9050 Iryna Kozeretska 1,15 [email protected] 0000-0002-6485-1408 Volker Loeschcke 1,16 [email protected] 0000-0003-1450-0754 Catherine Montchamp-Moreau 1,4 [email protected] 0000-0002-5044-9709 Lino Ometto 1,17 [email protected] 0000-0002-2679-625X Banu Sebnem Onder 1,18 [email protected] 0000-0002-3003-248X Dorcas J. -
Evidence to Support Safe Return to Clinical Practice by Oral Health Professionals in Canada During the COVID-19 Pandemic: a Repo
Evidence to support safe return to clinical practice by oral health professionals in Canada during the COVID-19 pandemic: A report prepared for the Office of the Chief Dental Officer of Canada. November 2020 update This evidence synthesis was prepared for the Office of the Chief Dental Officer, based on a comprehensive review under contract by the following: Paul Allison, Faculty of Dentistry, McGill University Raphael Freitas de Souza, Faculty of Dentistry, McGill University Lilian Aboud, Faculty of Dentistry, McGill University Martin Morris, Library, McGill University November 30th, 2020 1 Contents Page Introduction 3 Project goal and specific objectives 3 Methods used to identify and include relevant literature 4 Report structure 5 Summary of update report 5 Report results a) Which patients are at greater risk of the consequences of COVID-19 and so 7 consideration should be given to delaying elective in-person oral health care? b) What are the signs and symptoms of COVID-19 that oral health professionals 9 should screen for prior to providing in-person health care? c) What evidence exists to support patient scheduling, waiting and other non- treatment management measures for in-person oral health care? 10 d) What evidence exists to support the use of various forms of personal protective equipment (PPE) while providing in-person oral health care? 13 e) What evidence exists to support the decontamination and re-use of PPE? 15 f) What evidence exists concerning the provision of aerosol-generating 16 procedures (AGP) as part of in-person -
Sustained RNA Virome Diversity in Antarctic Penguins and Their Ticks
The ISME Journal (2020) 14:1768–1782 https://doi.org/10.1038/s41396-020-0643-1 ARTICLE Sustained RNA virome diversity in Antarctic penguins and their ticks 1 2 2 3 2 1 Michelle Wille ● Erin Harvey ● Mang Shi ● Daniel Gonzalez-Acuña ● Edward C. Holmes ● Aeron C. Hurt Received: 11 December 2019 / Revised: 16 March 2020 / Accepted: 20 March 2020 / Published online: 14 April 2020 © The Author(s) 2020. This article is published with open access Abstract Despite its isolation and extreme climate, Antarctica is home to diverse fauna and associated microorganisms. It has been proposed that the most iconic Antarctic animal, the penguin, experiences low pathogen pressure, accounting for their disease susceptibility in foreign environments. There is, however, a limited understanding of virome diversity in Antarctic species, the extent of in situ virus evolution, or how it relates to that in other geographic regions. To assess whether penguins have limited microbial diversity we determined the RNA viromes of three species of penguins and their ticks sampled on the Antarctic peninsula. Using total RNA sequencing we identified 107 viral species, comprising likely penguin associated viruses (n = 13), penguin diet and microbiome associated viruses (n = 82), and tick viruses (n = 8), two of which may have the potential to infect penguins. Notably, the level of virome diversity revealed in penguins is comparable to that seen in Australian waterbirds, including many of the same viral families. These data run counter to the idea that penguins are subject 1234567890();,: 1234567890();,: to lower pathogen pressure. The repeated detection of specific viruses in Antarctic penguins also suggests that rather than being simply spill-over hosts, these animals may act as key virus reservoirs.